Image Segmentation
ultralytics
PyTorch
semantic-segmentation
aerial-imagery
drone
aeroscapes
yolo26
computer-vision
Instructions to use dronefreak/aeroscapes-yolo26s-sem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/aeroscapes-yolo26s-sem with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("dronefreak/aeroscapes-yolo26s-sem") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- cd8125edd4b8f85b74e158dda3bb59203657caca55f9924e3e8e3d735a2f3900
- Size of remote file:
- 1.84 MB
- SHA256:
- 4397d7baf4a27e6232e76d396e88987919435ef8b18e48a0fa6b1d7aeadff2e0
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